Abstract #3376
Brain network efficiency deficits in multiple sclerosis: A pilot network analysis using 7-Tesla diffusion MRI
Liang Zhan 1 , Adam Carpenter 2 , Yuval Duchin 3 , Noam Harel 3 , Guillermo Sapiro 4 , Paul M Thompson 1 , and Christophe Lenglet 3
1
USC Imaging Genetics Center, University of
Southern California, Marina Del Rey, CA, United States,
2
Department
of Neurology, University of Minnesota, Minneapolis, MN,
United States,
3
Center
for Magnetic Resonance Research, University of
Minnesota, Minneapolis, MN, United States,
4
Department
of Electrical and Computer Engineering, Duke University,
Durham, NC, United States
We use high-field (7-Tesla) diffusion MRI, tractography
and network analysis techniques to investigate global
structural connectivity changes in patients with
multiple sclerosis. Two network measures (the normalized
mean clustering coefficient and normalized global
efficiency) were identified as significantly different
between patients and controls in this pilot study. This
may provide novel information to better understand
neurodegeneration in multiple sclerosis.
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